class_docstr: A compact implementation of agents for Atari 100k.
code: def delete_one(self, env_id):
      self.state = onp.concatenate(
          [self.state[:env_id], self.state[env_id + 1 :]], 0
      )
  
imports: import copy
  import functools
  from absl import logging
  from dopamine.jax import networks
  from dopamine.jax.agents.full_rainbow import full_rainbow_agent
  import gin
  import jax
  import jax.numpy
  import numpy
  import tensorflow
label_desc: Use image node_id 8 for calling the Atari100kRainbowAgent obj's underlying member method code with example usage: obj.delete_one(env_id) without return types